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@ -5,7 +5,7 @@ import matplotlib.pyplot as plt
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from keras import backend as K
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from sklearn.metrics import mean_squared_error
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model = keras.models.load_model('suicide_model')
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model = keras.models.load_model('suicide_model.h5')
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# train = pd.read_csv('train.csv')
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# test = pd.read_csv('test.csv')
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@ -91,4 +91,4 @@ test_predictions = model.predict(X_test).flatten()
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predictions = model.predict(X_test)
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pd.DataFrame(predictions).to_csv('results.csv')
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model.save('suicide_model')
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model.save('suicide_model.h5')
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